show chi in optimization log messages, change info to warning in increse chi

Author: MPMPMPMPMPMPMP

varipeps/ctmrg/routine.py

@@ -766,8 +766,8 @@ def calc_ctmrg_env(
                 working_unitcell = working_unitcell.change_chi(new_chi)
                 initial_unitcell = initial_unitcell.change_chi(new_chi)
 
-                if logger.isEnabledFor(logging.INFO):
-                    logger.info(
+                if logger.isEnabledFor(logging.WARNING):
+                    logger.warning(
                         "Increasing chi to %d since smallest SVD Norm was %.3e.",
                         new_chi,
                         norm_smallest_S,
@@ -800,8 +800,8 @@ def calc_ctmrg_env(
             if not new_chi in already_tried_chi:
                 working_unitcell = working_unitcell.change_chi(new_chi)
 
-                if logger.isEnabledFor(logging.INFO):
-                    logger.info(
+                if logger.isEnabledFor(logging.WARNING):
+                    logger.warning(
                         "Decreasing chi to %d since smallest SVD Norm was %.3e or routine did not converge.",
                         new_chi,
                         norm_smallest_S,
@@ -824,8 +824,8 @@ def calc_ctmrg_env(
                 new_truncation_eps
                 <= varipeps_config.ctmrg_increase_truncation_eps_max_value
             ):
-                if logger.isEnabledFor(logging.INFO):
-                    logger.info(
+                if logger.isEnabledFor(logging.WARNING):
+                    logger.warning(
                         "Increasing SVD truncation eps to %d.",
                         new_truncation_eps,
                     )

varipeps/optimization/optimizer.py

@@ -1024,14 +1024,15 @@ def random_noise(a):
 
         step_str = f"{float(linesearch_step):0.3f}" if linesearch_step is not None else "None"
         logger.info(
-            "📉 Step %d | Energy: %.8f Δ: %.2e | Retries: %d | Conv: %.3e | Line search step: %s | Max. trunc. err.: %.1e | Runtime: %.0f sec",
+            "📉 Step %d | Energy: %.8f Δ: %.2e | Retries: %d | Conv: %.3e | Line search step: %s | Max. trunc. err.: %.1e χ: %d | Runtime: %.0f sec",
             int(count),
             float(working_value),
             -float(working_value - step_energies[random_noise_retries][-2]) if len(step_energies[random_noise_retries]) > 1 else 0.0,
             int(random_noise_retries),
             float(conv),
             step_str,
             float(max_trunc_error),
+            int(step_chi[random_noise_retries][-1]),
             float(runtime),
         )